如何有效的组织、管理、索引这些海量的图像数据以方便用户的检索是一个巨大的挑战。
How to effectively manage and organize these web images for online-users' retrieving is a tough task.
如何在大量的冗余信息中找出那些主要的信息是更有效的处理和分析海量的图像信息的决定因素。
How to find the main message in the many of redundant information is the deciding factor to process and analysis of the amounts of image information.
在海量图像数据库上的实验结果说明了该算法的有效性。
Experiment results on large image database demonstrate the effectiveness of the proposed algorithm.
本文提出了一种有效的支持海量图像数据库Q BE查询的聚类索引算法。
This paper proposes an indexing algorithm of clustering which supports QBE image retrieval for large image databases.
实验表明本文提出的图像颜色特征提取算法可成功应用于海量图像库检索和图像语义信息的自动提取。
Experiments show that the new algorithm proposed can be successfully used in retrieving the image from good-sized image database and extracting semantic information from image automatically.
如何存储、管理海量图像数据，尤其是快速检索、快速显示海量图像数据，已成为实际应用中迫切需要解决的问题。
It's a tough practical issue how to storage, manage and even to retrieval and to display the mass image data.
如何将信息从海量图像数据库中及时检索出来，是近年来网络信息处理面临的“瓶颈”，已成为国内外研究热点。
How to retrieve relevant images quickly on demand in the enormous digital image databases has become the bottleneck of information processing techniques.
海量数据存储系统是遥感图像信息系统的关键组成部分之一。
The Mass Storage System (MSS) is one of the most important infrastructures of Remote Sensing Image Information System.
海量遥感图像快速处理是遥感图像处理与分析的重要任务之一，它既是数据密集型，也是计算密集型的工作。
Huge quantity remote sensing image processing is one of the important tasks of remote sensing image processing and analysis, it is not only data intensive work, but also computation intensive work.
该系统的开发过程对于利用HDF数据格式处理和管理海量图像数据和属性数据具有一定的借鉴作用。
The developing procedure of this system gives a good example for application of HDF data format processing and management of huge amounts of raster image data and attribute data.
目的：挖掘出海量医学图像中数据的关联关系。
Objective: the purpose of this study was to mine the correlative relationship between massive amounts of medical image data.
用户如何从海量图像数据库中快速而又淮确地检索出需要的图像，是目前研究的一项重要课题。
For users, how to retrieve the image quickly and accurately from the large image database, is an important topic in current research.
目的根据医学数字化影像自身的特点以及医院本身对医学影像管理的特殊需要，建立高性能价格比、可扩展性好、较为安全可靠的海量图像存储系统。
Objective According to the characteristics of digital medicine and demand of digitized management in hospital, we establish a storage system which is cheap, highly expansible, and reliable.
遥感图像自动解译的目的是为了满足人们从海量遥感数据中快速识别与获取不同专题信息的需要。
It is the quick method to recognize and acquire different theme information from huge remote sensing data by the auto interpretation of remote sensing image.
如何在海量的动漫图像库中高效、快速的检索到需要的图像已经成为一种迫切的需要，也成为图像检索领域在动漫图像检索中的一个研究应用热点。
How to rapidly and efficiently retrieval the desired images from large-scale animation image date becomes an urgent need, and an active topic in the research of image retrieval.
如何高效地存取和管理海量的遥感图像数据，是当今研究的热点问题。
How to store, retrieve and manage the remote sensing image data is a hotspot today.
面对海量遥感数据，准确、高效的分割方法是必须的，因此提出了遥感图像多尺度边缘分割的方法。
We provided a new method of remote sensing image multiscale edge segmentation based on invariant moment.
图像是一种直接形象地描述客观世界的信息载体，快速高效的从图像数据库中找到查询图像是海量信息处理所面临的瓶颈。
Image is an information carrier which can describe the objective world directly and vividly. It is bottleneck that the query image is found from the massive image database fast and efficiently.
水下视频图像压缩一直是有限带宽水声信道实时传输海量视频数据的关键技术之一。
Underwater video compression is one of the key technologies for transmitting massive amount of real-time video data via underwater acoustic channels with limited bandwidth.
另外，系统提供了海量图像数据存储方案和全面、合理的系统安全解决方案。
The plan of great capacity saving and system security is also given in this paper.
应用结果表明，海量遥感图像处理计算效率得到大幅度提高，取得了满意的结果。
The results show the computation efficiency is improved to a great extent, and the resu…
应用结果表明，海量遥感图像处理计算效率得到大幅度提高，取得了满意的结果。
The results show the computation efficiency is improved to a great extent, and the resu…
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